Organizing Committee

General Chair

Marouane Kessentini

Associate Professor

Computer and Information Science

Invited Speakers Chair

William Grosky

Professor

Computer and Information Science

Demos and Posters Track chairs

Bruce Maxim

Professor

Computer and Information Science

Birhanu Eshete

Assistant Professor

Computer and Information Science

Hands-on Tutorials Chairs

Wencong Su

Associate Professor

Electrical and Computer Engineering

Samir Rawashdeh

Assistant Professor

Electrical and Computer Engineering

Publicity chairs

Shan Bao

Associate Professor

Industrial and Manufacturing Systems

Alireza Mohammadi

Assistant Professor

Electrical and Computer Engineering

Executives Panel Chairs

Marouane Kessentini

Associate Professor

Computer and Information Science

John Cristiano

Assistant Dean

Research Development &Strategic Initiatives

our vision

The goal of the DAIS’20 symposium is to bring together Artificial Intelligence (AI) scientists and practitioners, and corporate partners to discuss the current and new AI tools and their use in solving research and applied problems for various domains. DAIS is the annual symposium of the Dearborn Artificial Intelligence (DAIR) Research Center hosted at the University of Michigan-Dearborn.
The annual DAIR AI Symposium is an excellent opportunity for exposing, hiring, learning, and branding about the latest research and practice in Artificial Intelligence. This annual symposium will bring a great lineup of expert and executive speakers from industry and academia to share and discuss the latest advances in AI. The event includes showcases and hands-on tutorial/experiences as well about the latest and greatest AI offerings from both Industry and Academia. The symposium program allows networking time and discussions during a 2-day event.